Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.
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| Title: | Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. |
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| Authors: | Veldhuizen GP; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., Röcken C; Department of Pathology, Christian-Albrechts University, Kiel, Germany., Behrens HM; Department of Pathology, Christian-Albrechts University, Kiel, Germany., Cifci D; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Muti HS; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Visceral, Thoracic and Vascular Surgery, Technical University Dresden, University Hospital Carl Gustav Carus, Dresden, Germany., Yoshikawa T; Department of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan., Arai T; Department of Pathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan., Oshima T; Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan., Tan P; Duke-NUS Medical School, Singapore, Singapore., Ebert MP; Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.; DKFZ-Hector Cancer Institute at the University Medical Center, Mannheim, Germany.; Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine and Digital Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.; Mannheim Institute for Innate Immunoscience (MI3), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany., Pearson AT; Department of Medicine, Section of Hematology/Oncology, The University of Chicago, Chicago, IL, USA., Calderaro J; Université Paris Est Créteil, INSERM, IMRB, Créteil, France.; Department of Pathology, Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Créteil, France., Grabsch HI; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands., Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob-nikolas.kather@alumni.dkfz.de.; Department of Medicine I, University Hospital Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de. |
| Source: | Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association [Gastric Cancer] 2023 Sep; Vol. 26 (5), pp. 708-720. Date of Electronic Publication: 2023 Jun 03. |
| Publication Type: | Multicenter Study; Journal Article |
| Journal Info: | Publisher: Springer-Verlag Tokyo Country of Publication: Japan NLM ID: 100886238 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1436-3305 (Electronic) Linking ISSN: 14363291 NLM ISO Abbreviation: Gastric Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37269416 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Veldhuizen+GP%22">Veldhuizen GP</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Röcken+C%22">Röcken C</searchLink>; Department of Pathology, Christian-Albrechts University, Kiel, Germany.<br /><searchLink fieldCode="AU" term="%22Behrens+HM%22">Behrens HM</searchLink>; Department of Pathology, Christian-Albrechts University, Kiel, Germany.<br /><searchLink fieldCode="AU" term="%22Cifci+D%22">Cifci D</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Muti+HS%22">Muti HS</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Visceral, Thoracic and Vascular Surgery, Technical University Dresden, University Hospital Carl Gustav Carus, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Yoshikawa+T%22">Yoshikawa T</searchLink>; Department of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Arai+T%22">Arai T</searchLink>; Department of Pathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Oshima+T%22">Oshima T</searchLink>; Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Tan+P%22">Tan P</searchLink>; Duke-NUS Medical School, Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Ebert+MP%22">Ebert MP</searchLink>; Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.; DKFZ-Hector Cancer Institute at the University Medical Center, Mannheim, Germany.; Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine and Digital Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.; Mannheim Institute for Innate Immunoscience (MI3), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Pearson+AT%22">Pearson AT</searchLink>; Department of Medicine, Section of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Calderaro+J%22">Calderaro J</searchLink>; Université Paris Est Créteil, INSERM, IMRB, Créteil, France.; Department of Pathology, Assistance Publique-Hôpitaux de Paris, Henri Mondor-Albert Chenevier University Hospital, Créteil, France.<br /><searchLink fieldCode="AU" term="%22Grabsch+HI%22">Grabsch HI</searchLink>; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob-nikolas.kather@alumni.dkfz.de.; Department of Medicine I, University Hospital Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100886238%22">Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association</searchLink> [Gastric Cancer] 2023 Sep; Vol. 26 (5), pp. 708-720. <i>Date of Electronic Publication: </i>2023 Jun 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Multicenter Study; Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+Tokyo%22">Springer-Verlag Tokyo </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>100886238 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1436-3305 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214363291%22">14363291 </searchLink><i>NLM ISO Abbreviation: </i>Gastric Cancer <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37269416 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10120-023-01398-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 708 Titles: – TitleFull: Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Veldhuizen GP – PersonEntity: Name: NameFull: Röcken C – PersonEntity: Name: NameFull: Behrens HM – PersonEntity: Name: NameFull: Cifci D – PersonEntity: Name: NameFull: Muti HS – PersonEntity: Name: NameFull: Yoshikawa T – PersonEntity: Name: NameFull: Arai T – PersonEntity: Name: NameFull: Oshima T – PersonEntity: Name: NameFull: Tan P – PersonEntity: Name: NameFull: Ebert MP – PersonEntity: Name: NameFull: Pearson AT – PersonEntity: Name: NameFull: Calderaro J – PersonEntity: Name: NameFull: Grabsch HI – PersonEntity: Name: NameFull: Kather JN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2023 Sep Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1436-3305 Numbering: – Type: volume Value: 26 – Type: issue Value: 5 Titles: – TitleFull: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Type: main |
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